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Recurring Revenue
Closing Users

Closing Live Users

The total count of active, billable user seats across all contracts at the close of a period — your seat-based user base at month-end or quarter-end.

Count

Formula

Closing Live Users=Starting Live Users+New Live Users+Upsell Live UsersChurned Live UsersDownsell Live Users\text{Closing Live Users} = \text{Starting Live Users} + \text{New Live Users} + \text{Upsell Live Users} - \text{Churned Live Users} - \text{Downsell Live Users}

Built from

What it measures

The sum of every active, billable seat at period end, constructed as a waterfall: prior closing balance plus new and expansion inflows minus churn and downsell outflows. Suspended seats, trial-only users, and read-only licenses are excluded unless they occupy a billable seat slot.

Why it matters

Closing Live Users anchors your user base at each period boundary — the fixed reference point every seat-based trend and forecast is built on. You track it to read adoption depth: how widely customers have actually rolled out your product, independent of how many customers (logos) you have. Boards use it to gauge product stickiness and land-and-expand momentum. Operators compare it to Starting Live Users to read net-new user motion and judge whether the period was a win or a reset. Finance pairs it with ARPU to stress-test unit economics and to forecast next period's recurring revenue, since Closing this period becomes Starting next period. For any seat-priced business, it's the user-count analog of Closing MRR — the snapshot every other seat metric chains off.

How to read it

Read Closing Live Users as a snapshot, never as a rate. It answers one question: "How many seats are active right now?" Track it month over month to read the trend. Rising means you're adding seats faster than you lose them — healthy momentum. Flat or falling means churn and downsell are outpacing new and expansion, or the customer base is consolidating onto fewer seats. Always pair it with Total Logos (the period-end customer count): divide users by logos to get average adoption per customer. If Closing Live Users grows 15% while logos grow 5%, your existing customers are expanding their footprint — the engine of net user retention. The reverse — logos up 15%, users up 5% — signals you're landing lean, underfed cohorts that haven't rolled the product out yet. Compare Closing to Starting to read the period's net motion: open at 2,500 and close at 2,590, and the period generated +90 net new users of motion. As with MRR, two companies with identical Closing Live Users can be on opposite trajectories — always break the number into its five components to see why it moved.

What good looks like

Good

Closing Live Users grow every month and grow faster than Total Logos—expansion is layering seats atop new customers, the signature of working land-and-expand.

Watch

Closing Live Users grow only in line with Total Logos, or stall—either new customers land lean with few initial seats, or existing customers aren't expanding their seat count over time.

Bad

Closing Live Users shrink or flatten while Total Logos grow—new logos arrive thinner than churned or downgraded ones, a sign that product stickiness or adoption velocity is declining.

Watch-outs

  • Counting trial users or suspended seats. Closing Live Users counts only active, billable seats. Include trials not billed as seats or frozen licenses and you overstate the base, inflate per-user revenue, and misread churn.
  • Treating it as an average instead of a snapshot. Closing Live Users on the last day of the month is not the same as the month's average user count if churn or expansion was lumpy mid-period. Always use period-end closing for consistency; if you need an average, label it separately and recalculate the same way each month.
  • Mixing billing models or seat definitions. If one contract bills by named users and another by concurrent licenses or pooled access, and you count all inconsistently, the metric drifts month-to-month. Lock the definition at the start of your fiscal year: a billable, active, assigned seat at period end.
  • Ignoring the component flow. Closing Users can rise while average adoption per logo falls—landing new contracts at 3 seats each while losing existing 30-seat customers to churn. Always inspect New, Upsell, Churned, and Downsell to understand which drivers moved the needle.

Worked example

Hypothetical

Closing Live UsersJuly=5,400+200+1801205=5,655\text{Closing Live Users}_\text{July} = 5{,}400 + 200 + 180 - 120 - 5 = 5{,}655

On June 30, you have 5,400 active billable user seats (Closing Live Users). In July you land 8 new contracts with 200 seats total, existing customers expand into 180 new seats, you lose 2 contracts worth 120 seats, and one customer downgrades from 30 to 25 seats (−5). July's motion is 200 + 180 − 120 − 5 = 255. Closing Live Users for July is 5,400 + 255 = 5,655.

Variants & windows

The same metric re-expressed by a mechanical transform — a trailing window, a growth rate, a per-unit scaling, or a book/segment cut. Each is computed from Closing Live Users above.

  • Closing Contracted Users Contracted (signed) book

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